Update README.md

README.md

@@ -6,7 +6,9 @@ language:
 - en
 ---
 
-This is the OccuLLaMA-7B model in [OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models](https://arxiv.org/abs/2310.16517)
+This is the OccuLLaMA-7B model in [OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models](https://arxiv.org/abs/2310.16517).
+
+The dataset is on [OccuQuest](https://huggingface.co/datasets/OFA-Sys/OccuQuest).
 
 Abstract:
 The emergence of large language models (LLMs) has revolutionized natural language processing tasks.
@@ -22,7 +24,7 @@ By fine-tuning LLaMA on a mixture of OccuQuest and Tulu datasets, we introduce P
 Among the different LLaMA variants, the 7B and 13B ProLLaMA models achieve the highest performance on MMLU and GSM8K, with the 7B ProLLaMA model demonstrating an improvement of more than 4 points over the other 7B variants on GSM8K.
 We open release the dataset and models.
 
-Please cite if you use this dataset:
+Please cite if you use this model:
 ```
 @misc{xue2023occuquest,
       title={OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models},